Outcomes

Innovation With Impact

Identify problems in medical informatics with high potential for impact and utility

Problem Solving Skills

Formulate problems, critically evaluate them and research & build methods to solve them

Knowledge-based Scholarship

Comprehend, recall and apply concepts in computing, health, mathematics and medical informatics

Interdisciplinary Collaboration and Experiential Learning

Participate in teams with other professionals developing and adapting computer science solutions to health problems

Professional and Leadership Skills

Develop skills in ethics, communications, presentation, publishing, media, networking, leadership and team management

EDI Awareness and Promotion

Train with experts in race and informatics, inclusive workplaces, anti-racism, mental health, gender diversity, unconscious bias and intercultural awareness

News

Med-i CREATE students secure 5 BMIF Excellence Awards

Five Med-i CREATE students from the Master's of Biomedical Informatics Program have received the BMIF Excellence Award 2025 for their outstanding contributions to their research projects and academic excellence. Donfang Cai Alon Gabriel Zhuoxin Guo Shannon Machado Marina Music
Dilakshan received People’s Choice award at NAGS 3MT

Dilakshan received People’s Choice award at NAGS 3MT

Dilakshan Srikanthan represented Queen's University at the NAGS 3-Minute Thesis Competition this year and received the People's Choice award for his outstanding presentation. More information on NAGS 3MT can be found on Northeastern Association of Graduate Schools and School of Graduate Studies and Postdoctoral Affairs websites.

Med-i CREATE Summer Competition Winners Announced

Med-i CREATE program recently held its Annual Summer Competition, providing trainees with the opportunity to apply for funding by submitting research proposals to hire summer students. This year, five Med-i CREATE trainees were selected as winners. Each of these trainees will have the opportunity to mentor an undergraduate student in the summer term, guiding them in accomplishing tasks related to...
Congratulations to Mahdi Gilany on Successfully Completing the Ph.D. Defense

Congratulations to Mahdi Gilany on Successfully Completing the Ph.D. Defense

Med-i CREATE trainee Mahdi Gilany successfully defended his thesis titled "Towards High-Fidelity Prostate Tissue Characterization and Cancer Detection with Micro-Ultrasound and Deep Learning," Congratulations Mahdi!

Director

Parvin Mousavi

Prof. Comp/ECE/Pathology, member of the Royal Soc of Canada, College of New Scholars

As the world’s population grows to 10B by 2050, technology-enabled innovation is the critical to ensuring well-being for all. While AI and informatics show great promise in rapid analysis of next-generation large scale data, future workers will require highly specialized training fit to the unique nature of health data. We aim to solidify Canada’s competitive advantage in the global space through concerted efforts to train computer scientists with specialized multi-disciplinary experience in medical informatics and digital health, and engage diverse groups and lived experiences in our training.

Projects

Integration, federation, and retrieval of large-scale data repositories in Canada

We collaborate with the Canadian Institute of Health Information (CIHI) and the Ontario Health Data Platform (OHDP) to tackle novel challenges in data management and devise evaluation frameworks that center on security, performance and fairness.

Next generation of actionable prescriptive analysis using multi-resolution, multi-modality data

We build computation models of disease from multi-omics data using machine learning, deep learning and evolutionary algorithms, focusing on innovations that address the unique nature of health data and the unavailability and vagueness of gold-standard labels (e.g., pathology labels).

Democratization of AI, software and data for healthcare

We're international leaders in developing and disseminating open source software using low-cost point-of-care imaging. Our positive impact on the global computer–assisted medical interventions community has is constantly expanding. We'll meet new challenges for discovery, refinement of methods and innovative AI-powered solutions using large open source data, hence democratizing access to care and positive outcomes of AI.

Featured Students

E Ching (Noon) Kho
School of Computing
Queen's University
In 2023, Noon completed a Bachelor of Computing (Honours) specializing in computing, mathematics, and analytics from Queen's University. Under the supervision of Randy E. Ellis, he is currently working on a Master of Science in Computing with an Artificial Intelligence…
Tyler Elliott
School of Computing
Queen's University
I finished my undergraduate in computing at Queen's in 2022. I'm working with Dr. Mousavi and Dr. Fichtinger in the Med-i Lab and Perk Lab, respectively. My MSc will focus on machine learning methods for intraoperative mass spectrometry-based tissue characterization. I…
Stuart Logan
Smith Engineering
Queen's University
Stuart Logan: is an incoming 4th-year Mechatronics and Robotics Engineering student at Queen’s University. He recently completed a year of professional internship through the QUIP program. This summer, Stuart will be conducting research with Perk Lab under the supervision of…
Faranak Akbarifar
School of Computing
Queen's University
Faranak Akbarifar is a PhD student in the School of Computing, Queen's University. She received her BSc in electrical engineering from Sharif University of Technology (Tehran, Iran) and MSc in biomedical engineering from University of Tehran (Tehran, Iran) in 2007…

University Partners

Western University